Novee v. XBOW
The vulnerabilities that cause breaches cannot be found by tools without application context.
XBOW is fast and broad. But without understanding how your application works, it misses the business logic flaws and chained exploits that cause real breaches – and leaves your team sorting through noise instead of acting on risk.
Chosen by teams that take attackers seriously
Novee vs. XBOW at a glance
Challenges with XBOW
XBOW is fast and executes well. But speed without application understanding means it probes without context – and doesn’t close the loop on what it finds.
Challenges with XBOW:
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Misses business logic vulnerabilities
XBOW probes without understanding how your application works. It can't find the complex, multi-step flaws that actually lead to breaches. -
Noisy output
Single-stage validation means false positives reach your team. No multi-agent confirmation process occurs, so your team triages instead of remediates. -
Generic remediation
Guidance isn't tailored to your WAF, backend, or tech stack, and there's no automatic retesting to confirm a fix held. -
Unpredictable pricing
Costs increase with scan frequency, making it difficult to plan coverage or justify continuous testing at scale.
Why Novee Over XBOW?
AI penetration testing is only as valuable as what it uncovers and what happens next. Speed matters. But so does depth, context, and a clear path from finding to fix.
Where Novee goes further:
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Finds what XBOW misses
Our Asset Intelligence Model reasons about your assets’ purposes to uncover complex, multi-step vulnerabilities that probing alone can't reach. -
Validated findings
Three independent agents respectively exploit, re-exploit blind, and validate independently every finding. Every issue comes with a working exploit, replication steps, and a PoC script. -
Tailored remediation
Tailored remediation guidance for your architecture, WAF, and tech stack. Automatic retesting confirms the fix held and flags anything new introduced by the change. -
Context that compounds
Every cycle deepens understanding of your application's roles, workflows, and logic. Testing gets more targeted over time and never resets. -
Transparent testing
Novee surfaces exactly what will be tested before execution starts. Guardrails are configurable and nothing runs blind. -
Predictable pricing
Per-asset pricing means depth and frequency never cost extra. Test as often as needed without the bill scaling against you.
Novee vs. XBOW Across Key Areas
| Capability | Novee AI Pentesting | XBOW |
|---|---|---|
| Approach | Builds a deep understanding of your application before testing. Maps roles, workflows, APIs, and business logic into a System Intelligence Model – so every test is grounded in how your application actually works, not just what’s visible on the surface. |
Probes without application understanding. No persistent model of how the application works, what roles exist, or how components relate. Runs the same automated test every time. |
| Depth | Finds high-impact business logic flaws, authorization gaps, and multi-step exploit chains. Reasons about how the application is supposed to work – not just what’s on a checklist. |
Probes without understanding how your application works. Cannot reason about roles, workflows, or business logic – so authorization bypasses, role escalation, and workflow-based attacks never get tested. |
| Scope | An Asset Intelligence Model (AIM) builds a living model of how your application is supposed to work – including API documentation, OpenAPI and Swagger specifications, natural language documentation, and source code (if provided). The system also crawls the application itself, opening multiple browser instances to interact with every discoverable endpoint and page. |
Web app pentesting with supported API coverage; standalone API |
| Context & Memory | Asset Intelligence Model compounds with every cycle. Coverage expands rather than resets – each run gets more targeted, covering roles, workflows, and business rules systematically. |
Stateless. Every run starts from scratch. No compounding understanding, no ability to build on prior discoveries. |
| Continuous Testing | Test on-demand or when changes are introduced, with coverage that deepens every cycle. |
Token-based pricing means continuous testing requires ongoing token purchases. Teams have to plan and budget around frequency – making truly continuous coverage difficult to sustain. |
| Regression Testing | Automatic retesting to confirm fixes and prevent regressions. Tailored guidance specific to your stack, automatically confirmed. |
Retesting is on-demand only. No automatic verification to prevent recurrence. |
| False Positive Triage | Every finding validated with working exploit, replication steps, and a PoC script. |
Steps to reproduce included, no PoC script. |
What security leaders say
“As the leading agentic orchestration platform for the enterprise, data isolation between our customers is non-negotiable. We need to prove that continuously, not once a year. Novee adapted to our multi-tenant SaaS product within days.”
“Our pen tests took weeks and consistently missed critical issues. Novee found them immediately and gave us instant remediation guidance. It showed us what we'd been missing.”
"Traditional DAST produced either zero or irrelevant results. We needed something that could identify complex vulnerabilities like server-side request forgery. Novee consistently surfaces findings we simply weren't seeing before."
“Novee rethinks penetration testing for how attacks actually happen today. Continuous, attacker-level validation that proves what’s exploitable and shows teams exactly how to fix it is a meaningful shift for modern security programs.”
"The hardest vulnerabilities for us to catch aren’t misconfigurations or known patterns. They’re business logic issues that only show up when someone understands how the application is supposed to work. That’s exactly the gap Novee closes."
"We had EASM tools and manual pentests that produced mostly noise. Novee came in black-box with zero credentials and within days found dozens of real vulnerabilities we could actually fix."
“As an AI researcher, what stood out about Novee is that they built a proprietary offensive AI model designed to think like an attacker, rather than wrapping generic LLMs. That matters for enterprise-grade results.”
“This was by far the deepest and fastest security assessment we’ve had. Novee uncovered issues across our web and mobile applications that had gone undetected before, and the level of depth was unlike anything we’d seen from other vendors.”
“We had urgent compliance need and we couldn’t wait weeks for DAST findings, an external exposure audit, and an in-depth pentest report. Instead Novee came in and delivered immediate value with their AI pentesting platform; with their findings, we closed our gaps and quickly met the criteria we needed for certification.”
Vulnerability Depth
Persistent Context & Memory
Validation and False Positive Triage
